{"bundle_type":"pith_open_graph_bundle","bundle_version":"1.0","pith_number":"pith:2023:VLYVCGVD7G6ZLMMGYA7Y6GNGPP","short_pith_number":"pith:VLYVCGVD","canonical_record":{"source":{"id":"2312.11276","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-12-18T15:18:57Z","cross_cats_sorted":[],"title_canon_sha256":"c3964661889a46aea000cb374388de61d38698a1f8787392f3947b454a2609bf","abstract_canon_sha256":"2f86905b104cc18cdfb44cacae07e90a80721b586dce66eade65409235a9a387"},"schema_version":"1.0"},"canonical_sha256":"aaf1511aa3f9bd95b186c03f8f19a67bc7c8fc3b94891607b57d7cd512aaba66","source":{"kind":"arxiv","id":"2312.11276","version":3},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.11276","created_at":"2026-07-05T07:26:20Z"},{"alias_kind":"arxiv_version","alias_value":"2312.11276v3","created_at":"2026-07-05T07:26:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.11276","created_at":"2026-07-05T07:26:20Z"},{"alias_kind":"pith_short_12","alias_value":"VLYVCGVD7G6Z","created_at":"2026-07-05T07:26:20Z"},{"alias_kind":"pith_short_16","alias_value":"VLYVCGVD7G6ZLMMG","created_at":"2026-07-05T07:26:20Z"},{"alias_kind":"pith_short_8","alias_value":"VLYVCGVD","created_at":"2026-07-05T07:26:20Z"}],"events":[{"event_type":"record_created","subject_pith_number":"pith:2023:VLYVCGVD7G6ZLMMGYA7Y6GNGPP","target":"record","payload":{"canonical_record":{"source":{"id":"2312.11276","kind":"arxiv","version":3},"metadata":{"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-12-18T15:18:57Z","cross_cats_sorted":[],"title_canon_sha256":"c3964661889a46aea000cb374388de61d38698a1f8787392f3947b454a2609bf","abstract_canon_sha256":"2f86905b104cc18cdfb44cacae07e90a80721b586dce66eade65409235a9a387"},"schema_version":"1.0"},"canonical_sha256":"aaf1511aa3f9bd95b186c03f8f19a67bc7c8fc3b94891607b57d7cd512aaba66","receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-07-05T07:26:20.263603Z","signature_b64":"iTjJup7bFJuN5npCw30jwLYbMWeAC4PtCdJ/bR+jOPsesw0FpnuWYY2bqD7fOnYB8VAs9A0iSimrqqQIICvbCA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"aaf1511aa3f9bd95b186c03f8f19a67bc7c8fc3b94891607b57d7cd512aaba66","last_reissued_at":"2026-07-05T07:26:20.263142Z","signature_status":"signed_v1","first_computed_at":"2026-07-05T07:26:20.263142Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"source_kind":"arxiv","source_id":"2312.11276","source_version":3,"attestation_state":"computed"},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:26:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"L0m2rgkVfj/1nx/X20CBwzdCPCFuLilF//pjE+MmpHauHdEKZuU10ogtrfpdbDsOgVylYeCc3ptGpu7hi7GfDw==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T09:29:54.739793Z"},"content_sha256":"d5f29e1fb77c7e03ef384c3ee56631b261fbdd42940569d9f624320c3d1efeec","schema_version":"1.0","event_id":"sha256:d5f29e1fb77c7e03ef384c3ee56631b261fbdd42940569d9f624320c3d1efeec"},{"event_type":"graph_snapshot","subject_pith_number":"pith:2023:VLYVCGVD7G6ZLMMGYA7Y6GNGPP","target":"graph","payload":{"graph_snapshot":{"paper":{"title":"Compositional Generalization for Multi-label Text Classification: A Data-Augmentation Approach","license":"http://creativecommons.org/licenses/by/4.0/","headline":"","cross_cats":[],"primary_cat":"cs.CL","authors_text":"Chong Teng, Donghong Ji, Fei Li, Jiahui Liu, Lei Chen, Yuyang Chai, Zhuang Li","submitted_at":"2023-12-18T15:18:57Z","abstract_excerpt":"Despite significant advancements in multi-label text classification, the ability of existing models to generalize to novel and seldom-encountered complex concepts, which are compositions of elementary ones, remains underexplored. This research addresses this gap. By creating unique data splits across three benchmarks, we assess the compositional generalization ability of existing multi-label text classification models. Our results show that these models often fail to generalize to compositional concepts encountered infrequently during training, leading to inferior performance on tests with the"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.11276","kind":"arxiv","version":3},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"integrity":{"clean":true,"summary":{"advisory":0,"critical":0,"by_detector":{},"informational":0},"endpoint":"/pith/2312.11276/integrity.json","findings":[],"available":true,"detectors_run":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938"},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"verdict_id":null},"signer":{"signer_id":"pith.science","signer_type":"pith_registry","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"created_at":"2026-07-05T07:26:20Z","supersedes":[],"prev_event":null,"signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Ewgc4yzGWXGoZNeujqOHeXNPy3gglkAuSa56NYbkCtSlbsPcdGyKWtFId7QC3Rsvn1q6D4PYHMULvlZ/IWwXCA==","signed_message":"open_graph_event_sha256_bytes","signed_at":"2026-08-22T09:29:54.740487Z"},"content_sha256":"0ee63f4feb9761187b1d6b20c8976c2c77acb4e98c3eccd1e00b09f74d0287ad","schema_version":"1.0","event_id":"sha256:0ee63f4feb9761187b1d6b20c8976c2c77acb4e98c3eccd1e00b09f74d0287ad"}],"timestamp_proofs":[],"mirror_hints":[{"mirror_type":"https","name":"Pith Resolver","base_url":"https://pith.science","bundle_url":"https://pith.science/pith/VLYVCGVD7G6ZLMMGYA7Y6GNGPP/bundle.json","state_url":"https://pith.science/pith/VLYVCGVD7G6ZLMMGYA7Y6GNGPP/state.json","well_known_bundle_url":"https://pith.science/.well-known/pith/VLYVCGVD7G6ZLMMGYA7Y6GNGPP/bundle.json","status":"primary"}],"public_keys":[{"key_id":"pith-v1-2026-05","algorithm":"ed25519","format":"raw","public_key_b64":"stVStoiQhXFxp4s2pdzPNoqVNBMojDU/fJ2db5S3CbM=","public_key_hex":"b2d552b68890857171a78b36a5dccf368a953413288c353f7c9d9d6f94b709b3","fingerprint_sha256_b32_first128bits":"RVFV5Z2OI2J3ZUO7ERDEBCYNKS","fingerprint_sha256_hex":"8d4b5ee74e4693bcd1df2446408b0d54","rotates_at":null,"url":"https://pith.science/pith-signing-key.json","notes":"Pith uses this Ed25519 key to sign canonical record SHA-256 digests. Verify with: ed25519_verify(public_key, message=canonical_sha256_bytes, signature=base64decode(signature_b64))."}],"merge_version":"pith-open-graph-merge-v1","built_at":"2026-08-22T09:29:54Z","links":{"resolver":"https://pith.science/pith/VLYVCGVD7G6ZLMMGYA7Y6GNGPP","bundle":"https://pith.science/pith/VLYVCGVD7G6ZLMMGYA7Y6GNGPP/bundle.json","state":"https://pith.science/pith/VLYVCGVD7G6ZLMMGYA7Y6GNGPP/state.json","well_known_bundle":"https://pith.science/.well-known/pith/VLYVCGVD7G6ZLMMGYA7Y6GNGPP/bundle.json"},"state":{"state_type":"pith_open_graph_state","state_version":"1.0","pith_number":"pith:2023:VLYVCGVD7G6ZLMMGYA7Y6GNGPP","merge_version":"pith-open-graph-merge-v1","event_count":2,"valid_event_count":2,"invalid_event_count":0,"equivocation_count":0,"current":{"canonical_record":{"metadata":{"abstract_canon_sha256":"2f86905b104cc18cdfb44cacae07e90a80721b586dce66eade65409235a9a387","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-12-18T15:18:57Z","title_canon_sha256":"c3964661889a46aea000cb374388de61d38698a1f8787392f3947b454a2609bf"},"schema_version":"1.0","source":{"id":"2312.11276","kind":"arxiv","version":3}},"source_aliases":[{"alias_kind":"arxiv","alias_value":"2312.11276","created_at":"2026-07-05T07:26:20Z"},{"alias_kind":"arxiv_version","alias_value":"2312.11276v3","created_at":"2026-07-05T07:26:20Z"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.2312.11276","created_at":"2026-07-05T07:26:20Z"},{"alias_kind":"pith_short_12","alias_value":"VLYVCGVD7G6Z","created_at":"2026-07-05T07:26:20Z"},{"alias_kind":"pith_short_16","alias_value":"VLYVCGVD7G6ZLMMG","created_at":"2026-07-05T07:26:20Z"},{"alias_kind":"pith_short_8","alias_value":"VLYVCGVD","created_at":"2026-07-05T07:26:20Z"}],"graph_snapshots":[{"event_id":"sha256:0ee63f4feb9761187b1d6b20c8976c2c77acb4e98c3eccd1e00b09f74d0287ad","target":"graph","created_at":"2026-07-05T07:26:20Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"graph_snapshot":{"author_claims":{"count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","strong_count":0},"builder_version":"pith-number-builder-2026-05-17-v1","claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"integrity":{"available":true,"clean":true,"detectors_run":[],"endpoint":"/pith/2312.11276/integrity.json","findings":[],"snapshot_sha256":"c28c3603d3b5d939e8dc4c7e95fa8dfce3d595e45f758748cecf8e644a296938","summary":{"advisory":0,"by_detector":{},"critical":0,"informational":0}},"paper":{"abstract_excerpt":"Despite significant advancements in multi-label text classification, the ability of existing models to generalize to novel and seldom-encountered complex concepts, which are compositions of elementary ones, remains underexplored. This research addresses this gap. By creating unique data splits across three benchmarks, we assess the compositional generalization ability of existing multi-label text classification models. Our results show that these models often fail to generalize to compositional concepts encountered infrequently during training, leading to inferior performance on tests with the","authors_text":"Chong Teng, Donghong Ji, Fei Li, Jiahui Liu, Lei Chen, Yuyang Chai, Zhuang Li","cross_cats":[],"headline":"","license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-12-18T15:18:57Z","title":"Compositional Generalization for Multi-label Text Classification: A Data-Augmentation Approach"},"references":{"count":0,"internal_anchors":0,"resolved_work":0,"sample":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"2312.11276","kind":"arxiv","version":3},"verdict":{"created_at":null,"id":null,"model_set":{},"one_line_summary":"","pipeline_version":null,"pith_extraction_headline":"","strongest_claim":"","weakest_assumption":""}},"verdict_id":null}}],"author_attestations":[],"timestamp_anchors":[],"storage_attestations":[],"citation_signatures":[],"replication_records":[],"corrections":[],"mirror_hints":[],"record_created":{"event_id":"sha256:d5f29e1fb77c7e03ef384c3ee56631b261fbdd42940569d9f624320c3d1efeec","target":"record","created_at":"2026-07-05T07:26:20Z","signer":{"key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signer_id":"pith.science","signer_type":"pith_registry"},"payload":{"attestation_state":"computed","canonical_record":{"metadata":{"abstract_canon_sha256":"2f86905b104cc18cdfb44cacae07e90a80721b586dce66eade65409235a9a387","cross_cats_sorted":[],"license":"http://creativecommons.org/licenses/by/4.0/","primary_cat":"cs.CL","submitted_at":"2023-12-18T15:18:57Z","title_canon_sha256":"c3964661889a46aea000cb374388de61d38698a1f8787392f3947b454a2609bf"},"schema_version":"1.0","source":{"id":"2312.11276","kind":"arxiv","version":3}},"canonical_sha256":"aaf1511aa3f9bd95b186c03f8f19a67bc7c8fc3b94891607b57d7cd512aaba66","receipt":{"algorithm":"ed25519","builder_version":"pith-number-builder-2026-05-17-v1","canonical_sha256":"aaf1511aa3f9bd95b186c03f8f19a67bc7c8fc3b94891607b57d7cd512aaba66","first_computed_at":"2026-07-05T07:26:20.263142Z","key_id":"pith-v1-2026-05","kind":"pith_receipt","last_reissued_at":"2026-07-05T07:26:20.263142Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","receipt_version":"0.3","signature_b64":"iTjJup7bFJuN5npCw30jwLYbMWeAC4PtCdJ/bR+jOPsesw0FpnuWYY2bqD7fOnYB8VAs9A0iSimrqqQIICvbCA==","signature_status":"signed_v1","signed_at":"2026-07-05T07:26:20.263603Z","signed_message":"canonical_sha256_bytes"},"source_id":"2312.11276","source_kind":"arxiv","source_version":3}}},"equivocations":[],"invalid_events":[],"applied_event_ids":["sha256:d5f29e1fb77c7e03ef384c3ee56631b261fbdd42940569d9f624320c3d1efeec","sha256:0ee63f4feb9761187b1d6b20c8976c2c77acb4e98c3eccd1e00b09f74d0287ad"],"state_sha256":"47bc195285bcc8e7289a3fff657981685066305fe953ced87b105dacccbe0b67"},"bundle_signature":{"signature_status":"signed_v1","algorithm":"ed25519","key_id":"pith-v1-2026-05","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54","signature_b64":"Qn6coBN8fxRBM4Tp9CtUsoJ/4ommoKw243QJ5cEjyn/rks1hXkw26WaTeiPe4fC45eBcjLi9+DNlqQ06V/KtAA==","signed_message":"bundle_sha256_bytes","signed_at":"2026-08-22T09:29:54.795830Z","bundle_sha256":"7b2eb3c11d3e0d38eabed26411caf28e27dc23e5d3e32d98fd74c0b5e35bb2cb"}}